Energy-minimized Scheduling of Real-time Parallel Workflows on Heterogeneous Distributed Computing Systems

Keyphrases

• Heterogeneous Distributed Computing Systems 100%
• Parallel Workflows 100%
• Energy Consumption Reduction 50%
• Energy Consumption 50%
• Merging Method 50%
• Scaling Technique 50%
• Dynamic Voltage Frequency Scaling 50%
• Quality of Service 25%
• High Efficiency 25%
• Computing Systems 25%
• Economic Perspective 25%
• Task Level 25%
• Computing Resources 25%
• Response Time 25%
• Downscaling 25%
• Heuristic Solution 25%
• Efficient Heuristics 25%
• Work Study 25%
• Slack Time 25%
• Schedule Length 25%
• Nonlinear Mixed Integer Programming 25%
• Reliability Constraint 25%
• Large-scale Parallel 25%
• Resource Provider 25%
• Distributed Computing Platform 25%
• Heterogeneous Distributed Computing 25%
• Processor Frequency 25%
• System Energy Consumption 25%
• Service Indicators 25%
• Response Reliability 25%

Computer Science

• Energy Consumption 100%
• Distributed Computing Systems 100%
• Scaling Technique 40%
• Dynamic Voltage 40%
• Distributed Computing 20%
• Computing Platform 20%
• Experimental Result 20%
• Computing Resource 20%
• Response Time 20%
• Mixed-Integer Linear Programming 20%
• Heuristic Solution 20%
• Reliability Requirement 20%